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Near real time network simulation for team sports monitoring

机译:近实时网络仿真对团队体育监测

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On field monitoring of athlete performance is a growing area of interest in elite, professional and even some amateur sports. Metrics routinely monitored can be tactical, physiological and biomechanical, some methods are more labor intensive than others such as bloods and video coded and hand scored performance data. More recently the introduction of wearable sensors and GPS have allowed comparatively large amounts of data to be collected. These sensors are changing the way athletes are assessed, and today are routinely used by a number of professional football codes. Near real time systems, have been shown to enable the information to be accessed more quickly and thus the data can be used tactically, for workload management during game play, in addition to post game analysis. One of the major challenges is to have robust wireless network solutions for this challenging environment. This paper implements a number of player based network topologies and protocols in a simulation environment to test various scenarios, as a tool for future development. Performance limitations to throughput and goodput are used to identify potential bottlenecks. Because the construction of physical hardware devices for athletes and networks, simulation is an attractive process that can shorten development time, identify and solve design problems more rapidly. These tests are intended as an input to designing better devices, networks and thus optimizing ambulatory systems for range, battery life and size reduction.
机译:运动员绩效的现场监测是精英,专业甚至一些业余运动的兴趣不断增长。常规监测的指标可以是战术,生理和生物力学的,一些方法比其他方法更加劳动,如血液和视频编码和手动得分的性能数据。最近,推出可穿戴传感器和GPS的允许收集较大的数据。这些传感器正在改变运动员的评估方式,今天是一批职业橄榄球代码经常使用。近实时系统,已被证明可以使能够更快地访问的信息,从而可以在游戏过程中为工作负载管理进行战术,除了游戏后分析。其中一个主要挑战是为这一具有挑战性的环境具有强大的无线网络解决方案。本文在模拟环境中实现了许多基于播放器的网络拓扑和协议,以测试各种方案,作为未来发展的工具。吞吐量和良品的性能限制用于识别潜在的瓶颈。由于对运动员和网络的物理硬件设备构建,模拟是一个有吸引力的过程,可以缩短开发时间,更快地识别和解决设计问题。这些测试旨在作为设计更好的设备,网络的输入,从而优化用于范围,电池寿命和尺寸减少的动态系统。

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